Gesture spotting with body-worn inertial sensors to detect user activities

Holger Junker, Oliver Amft, Paul Lukowicz, Gerhard Tröster

In: Pattern Recognition (PR) 41 6 Seiten 2010-2024 Elsevier Science Inc. New York, NY, USA 2008.


We present a method for spotting sporadically occurring gestures in a continuous data stream from body-worn inertial sensors. Our method is based on a natural partitioning of continuous sensor signals and uses a two-stage approach for the spotting task. In a first stage, signal sections likely to contain specific motion events are preselected using a simple similarity search. Those preselected sections are then further classified in a second stage, exploiting the recognition capabilities of hidden Markov models. Based on two case studies, we discuss implementation details of our approach and show that it is a feasible strategy for the spotting of various types of motion events.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence